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Model comparison

GPT-OSS 20B vs Trinity-Large-Preview

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

42.74/100
Margin
13.2pts
winning →
55.94/100
0 category wins0 category wins

Public leaderboard positions: GPT-OSS 20B #159 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-OSS 20B and Trinity-Large-Preview share 14 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to GPT-OSS 20B; 4 to Trinity-Large-Preview.

Updated July 21, 2026
Shared results
14
GPT-OSS 20B only
4
Trinity-Large-Preview only
4
Comparable categories
0 / 8

Benchmark data for GPT-OSS 20B and Trinity-Large-Preview is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Trinity-Large-Preview is priced at $0.25 input / $1.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 20B. Trinity-Large-Preview has the larger context window at 512K, compared with 128K for GPT-OSS 20B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-OSS 20BTrinity-Large-PreviewComparison
Input / output priceUSD per 1M tokensGPT-OSS 20B$0 input / $0 outputTrinity-Large-Preview$0.25 input / $1 outputGPT-OSS 20B has the lower combined listed price.
Generation speedtokens per secondGPT-OSS 20B313 tok/sTrinity-Large-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-OSS 20B0.65 sTrinity-Large-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-OSS 20B128KTrinity-Large-Preview512KTrinity-Large-Preview lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
AA Agentic IndexSource 3.1%Not comparable
APEX-Agents-AASource 0.7%Not comparable
τ²-bench resultsSource 60.2%90.1%Trinity-Large-Preview leads
GDPval-AASource 3.0%2.7%GPT-OSS 20B leads
GDPval-AASource 559554GPT-OSS 20B leads
Coding
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
React Native EvalsSource 71%Not comparable
AA Coding IndexSource 20.7%Not comparable
AA-SciCodeSource 34.4%36.1%Trinity-Large-Preview leads
Reasoning
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
AA-LCRSource 30.7%33.0%Trinity-Large-Preview leads
CritPtSource 1.4%0.9%GPT-OSS 20B leads
Knowledge
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
Artificial Analysis Intelligence IndexSource 14.9%24.5%Trinity-Large-Preview leads
AA-GPQA DiamondSource 68.8%75.2%Trinity-Large-Preview leads
AA-HLESource 9.8%14.7%Trinity-Large-Preview leads
AA-Omniscience IndexSource -63.9%-44.2%Trinity-Large-Preview leads
AA-Omniscience AccuracySource 15.5%22.8%Trinity-Large-Preview leads
AA-Omniscience Hallucination RateSource 94.1%86.6%Trinity-Large-Preview leads
MMLUSource 87.2%Not comparable
MMLU-Pro (Arcee)Source 75.2%Not comparable
GPQA-DSource 63.3%Not comparable
Math
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
AIME25 (Arcee)Source 24.0%Not comparable
Multimodal
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
Design Arena WebsiteSource 8821165Trinity-Large-Preview leads
Inst. Following
BenchmarkGPT-OSS 20BTrinity-Large-PreviewResult
AA-IFBenchSource 65.1%56.3%GPT-OSS 20B leads
Frequently Asked Questions (3)

Can I compare GPT-OSS 20B and Trinity-Large-Preview on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-OSS 20B and Trinity-Large-Preview today?

GPT-OSS 20B: $0.00 input / $0.00 output per 1M tokens Trinity-Large-Preview: $0.25 input / $1.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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